Channel
@jlpt_uzbekistan
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,253subscribers
+3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002047915889 |
|---|---|
| Type | Channel |
| Username | @jlpt_uzbekistan |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/jlpt_uzbekistan |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 14 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 16:16 | 3,253 | -1 |
| 13 Sept 2026, 20:57 | 3,254 | +1 |
| 10 Sept 2026, 12:00 | 3,253 | +6 |
| 5 Sept 2026, 13:40 | 3,247 | +2 |
| 1 Sept 2026, 14:43 | 3,245 | +4 |
| 29 Aug 2026, 14:43 | 3,241 | +4 |
| 26 Aug 2026, 12:34 | 3,237 | +12 |
| 23 Aug 2026, 23:14 | 3,225 | -3 |
| 20 Aug 2026, 09:34 | 3,228 | -3 |
| 17 Aug 2026, 15:05 | 3,231 | -9 |
| 14 Aug 2026, 16:58 | 3,240 | -7 |
| 11 Aug 2026, 05:42 | 3,247 | -3 |
| 7 Aug 2026, 12:18 | 3,250 | no change |
| 7 Aug 2026, 12:08 | 3,250 | first reading |
18 posts held, back to 30 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
277 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 30.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 85 | 30.7% | |
| ❤ | 75 | 27.1% | |
| 🤩 | 39 | 14.1% | |
| 👍 | 35 | 12.6% | |
| 💯 | 15 | 5.42% | |
| 🤣 | 8 | 2.89% | |
| 🤯 | 7 | 2.53% | |
| custom 5370603784693094754 | 5 | 1.81% | |
| ⚡ | 2 | 0.722% | |
| 🕊 | 2 | 0.722% | |
| 😇 | 2 | 0.722% | |
| 🎉 | 1 | 0.361% | |
| 😁 | 1 | 0.361% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 18 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 277 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 30 July 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
💜💜💙 🔔JLPT imtihoniga jiddiy tayyorgarlikni bugundan boshlang 📌Nega aynan JLPT MASTER? ✅Tajribali ustozlar ✅Zamonaviy o‘quv dasturi ✅ Doimiy testlar va har bir o’quvchiga moslashtirilgan tahlillar ✅JLPT imtihoniga yo‘naltirilgan tayyorgarlik (500+ o’quvchi bilan ishlab erishilgan tarjiba) 📨Ro‘yxatdan o‘tish: 📍Link: https://t.me/JLPTMaster_qabulxona_bot ✈️Telegram: @JLPTMasteruz 🛜Telefon: +94 1621604 ✨ Yapon tili…
🔥3❤2
💛💛💛 📞Yaponiyada telefon orqali gaplashishda qiynalayapsizmi? Yapon tilini bilishning o‘zi yetarli emas. Telefon orqali muloqotda ishlatiladigan hurmat shakllari (keigo) va rasmiy iboralarni ham bilish juda muhim. Ushbu postda siz telefon suhbatlarida eng ko‘p ishlatiladigan 9 ta muhim ibora bilan tanishasiz. ✨ Yapon tili bo‘lsa, faqat JLPT MASTERda 🔔Yapon tili kursiga ro’yhatdan o’ting Bizga qoʻshiling |フォロー …
👍6❤4💯3
8.15🤓 ✨ Yapon tili bo‘lsa, faqat JLPT MASTERda Bizga qoʻshiling |フォロー Telegram | Instagram | Lokatsiya
🤩8🤯7🔥4❤2
💛💛💛 💼Yapon kompaniyalarida ishlayotgan yoki ishlashni rejalashtirayotgan bo’lsangiz, bu so’zlarni albatta bilishingiz kerak Ko’pchilik 本社, 支社, 当社, 弊社, 御社 va 貴社 so’zlarining barchasini “kompaniya” deb tarjima qiladi. Lekin ularning ishlatilish joyi mutlaqo boshqacha. ❌ Noto’g’ri ishlatilgan bitta so’z ham ish suhbatida yoki mijoz bilan muloqotda salbiy taassurot qoldirishi mumkin. Bu post orqali siz: ✅ Asosiy ofis…
❤8🔥6🤩2
💜💜💙 🔔JLPT imtihoniga jiddiy tayyorgarlikni bugundan boshlang 📌N4 darsi (offline shaklda) Seshanba, payshanba va shanba soat 13:00 da 📌N4 darsi (online shaklda) Seshanba, payshanba va shanba soat 18:00 da 📌N3 darsi (online shaklda) Seshanba, payshanba va shanba soat 18:00 da 📌Nega aynan JLPT MASTER? ✅Tajribali ustozlar ✅Zamonaviy o‘quv dasturi ✅ Doimiy testlar va har bir o’quvchiga moslashtirilgan tahlillar ✅…
❤3👍3💯3🔥2
💜💜💜 📢 Yaponiyada JLPT imtihoni topshirmoqchimisiz? MyJLPT’dan avvaldan ro‘yxatdan o‘tib qo‘ying. JLPT imtihoniga ariza topshirish uchun avvalo MyJLPT ID yaratish kerak bo‘ladi. Ro‘yxatdan o‘tish boshlanganda saytga bir vaqtda juda ko‘p odam kirgani sababli tizim sekin ishlashi mumkin. Shuning uchun imtihonga ro‘yxatdan o‘tish ochilishini kutmasdan: ✅ MyJLPT saytiga kiring ✅ Shaxsiy MyJLPT ID yarating ✅ Ism-famil…
🔥6❤5👍3🤩2
💛💛💛 Yaponiyada soliq, sug‘urta va pensiyaga oid so’zlar Bugungi rasmli postda siz 税金, 保険, 年金, 納付書 kabi Yaponiyada eng ko‘p uchraydigan terminlarni o‘rganasiz. Ayniqsa, Yaponiyada o‘qish, ishlash yoki yashashni rejalashtirayotganlar uchun bu so‘zlar juda foydali. ✨ Yapon tili bo‘lsa, faqat JLPT MASTERda 🔔Yapon tili kursiga ro’yhatdan o’ting Bizga qoʻshiling |フォロー …
❤4🔥4🤩3
⏱JLPT imtihonigacha atigi 4 oy qoldi Ko‘pchilik hali “erta”, “sentabrdan boshlayman”, “ishga qarab ko‘ramanda, hozir ishlab olaveray” deb o‘ylaydi. 6-dekabr kuni natijani emas, bugundan boshlab qilgan mehnatingiz natijasini olasiz. 4 oy — bu: 📚 yuzlab yangi so‘zlarni o‘rganish, 📝 minglab testlarni yechish, 💪 grammatikani mustahkamlash, 🎯 va eng muhimi, JLPT sertifikatini qo‘lga kiritish uchun yetarli vaqt. Ammo b…
🔥9❤6💯6🤩6custom 53706037846930947544🤣2
💛💛💛 Anime tomosha qilayotganda ba’zi so’zlar nega tez-tez takrorlanadi? Anime va mangada kundalik suhbatlarda ishlatilmaydigan, aynan shu janrga xos iboralar ham uchraydi. Ularning ma’nosini bilish voqealarni yaxshiroq tushunishga va qahramonlarning xarakterini to’g’ri anglashga yordam beradi. 📚Bugungi mavzuda anime muxlislari orasida eng ko’p uchraydigan atamalar bilan tanishing va lug’atingizni yanada boyiting. …
👍5🔥5❤4🤣3🤩3custom 53706037846930947541
❤️🔥❤️🔥❤️🔥 🔔O’zbekistonda JLPT imtihoniga ro‘yxatdan o‘tish kunlari aniq bo’ldi ⌛️Ro‘yxatdan o‘tish sanalari: 24-avgustdan 11-sentabrgacha 📌Imtihon topshirish narxi: 700 000 so‘m ✨ Yapon tili bo‘lsa, faqat JLPT MASTERda Bizga qoʻshiling |フォロー Telegram | Instagram | Lokatsiya
❤5👍5🔥3🕊2
💛💛💛 🔥Anime va manga — yapon tilini o’rganishning qiziqarli usullaridan biri. Ko’plab o’quvchilar tilni aynan sevimli animelarini tomosha qilish yoki mangalarni o’qish orqali yanada tezroq o’zlashtira boshlashadi. Chunki bu orqali nafaqat yangi iboralar, balki yaponlarning madaniyati, his-tuyg’ularni ifodalash usuli va kundalik muloqotini ham o’rganish mumkin. 🔋Tilni o’rganishda qiziqishingizni darsga aylantiring. …
❤8🤩5🤣2⚡1🎉1😇1
💜💜💙 🔔JLPT imtihoniga jiddiy tayyorgarlikni bugundan boshlang 📌N4 darsi (offline shaklda) Seshanba, payshanba va shanba soat 13:00 da 📌N4 darsi (online shaklda) Seshanba, payshanba va shanba soat 18:00 da 📌N3 darsi (online shaklda) Seshanba, payshanba va shanba soat 18:00 da 📌Nega aynan JLPT MASTER? ✅Tajribali ustozlar ✅Zamonaviy o‘quv dasturi ✅ Doimiy testlar va har bir o’quvchiga moslashtirilgan tahlillar ✅…
👍4💯3🔥3❤2🤣1😁1
Showing the 12 most recent of 18 posts we hold for @jlpt_uzbekistan. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.
“JLPT Master” (@jlpt_uzbekistan), 3,253 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/jlpt_uzbekistan.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.